Book Image

Hands-On Kubernetes on Azure - Second Edition

By : Nills Franssens, Shivakumar Gopalakrishnan, Gunther Lenz
Book Image

Hands-On Kubernetes on Azure - Second Edition

By: Nills Franssens, Shivakumar Gopalakrishnan, Gunther Lenz

Overview of this book

From managing versioning efficiently to improving security and portability, technologies such as Kubernetes and Docker have greatly helped cloud deployments and application development. Starting with an introduction to Docker, Kubernetes, and Azure Kubernetes Service (AKS), this book will guide you through deploying an AKS cluster in different ways. You’ll then explore the Azure portal by deploying a sample guestbook application on AKS and installing complex Kubernetes apps using Helm. With the help of real-world examples, you'll also get to grips with scaling your application and cluster. As you advance, you'll understand how to overcome common challenges in AKS and secure your application with HTTPS and Azure AD (Active Directory). Finally, you’ll explore serverless functions such as HTTP triggered Azure functions and queue triggered functions. By the end of this Kubernetes book, you’ll be well-versed with the fundamentals of Azure Kubernetes Service and be able to deploy containerized workloads on Microsoft Azure with minimal management overhead.
Table of Contents (16 chapters)
1
Section 1: The Basics
4
Section 2: Deploying on AKS
10
Section 3: Leveraging advanced Azure PaaS services
15
Index

Exploring advanced database operations

Running your database as a managed service on top of Azure has many advantages. In this section, we'll explore those benefits. We will explore restoring from a backup, how you can set up disaster recovery, and how you can access audit logs to verify who made changes to your database.

We'll begin by restoring our database from a backup.

Restoring from a backup

When you run a database within your Kubernetes cluster, high availability (HA), backups, and DR are your responsibilities. Let's take some time to explain the differences between those three concepts:

  • HA: HA refers to local redundancy in a service to ensure that the service remains available in the event that a single component fails. This means setting up multiple replicas of a service and coordinating the state between them. In a database context, this means setting up a database cluster.

    The Azure Database for MySQL service comes with HA built in. It offers...